Instructions to use hf-internal-testing/tiny-random-PvtV2Backbone with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-PvtV2Backbone with Transformers:
# Load model directly from transformers import AutoImageProcessor, PvtV2Backbone processor = AutoImageProcessor.from_pretrained("hf-internal-testing/tiny-random-PvtV2Backbone") model = PvtV2Backbone.from_pretrained("hf-internal-testing/tiny-random-PvtV2Backbone") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7493874509b9ceabca87095609a6886356cfae82af2dfafec3645f65b6b92ef
- Size of remote file:
- 3.11 MB
- SHA256:
- 1a21b641385ec372de9cd0a8e53cfc738302e1bbaa28c2f83f654294ca08a52a
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